@inproceedings{bessa-etal-2026-development,
    title = "Development and Evaluation of a Hybrid Information Retrieval System Applied to the {B}razilian Legal Domain",
    author = "Bessa, Ana Carolina C.  and
      Lobato, F{\'a}bio M. F.  and
      Junior, Antonio F. L. J.",
    editor = "Souza, Marlo  and
      de-Dios-Flores, Iria  and
      Santos, Diana  and
      Freitas, Larissa  and
      Souza, Jackson Wilke da Cruz  and
      Ribeiro, Eug{\'e}nio",
    booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 2",
    month = apr,
    year = "2026",
    address = "Salvador, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-dnd/2026.propor-2.26/",
    pages = "186--190",
    ISBN = "979-8-89176-387-6",
    abstract = "The need for tools that assist in process management, automating tasks and reducing the slowness of the judicial system, justifies the improvement of traditional Information Retrieval systems, often limited by vocabulary incompatibility and the length of legal texts. Although models based on Transformers capture semantic particularities, they face input size constraints that make it difficult to process long texts without losing information. In this work, we propose a hybrid system applied to the legal domain, combining the BM25L algorithm and the BumbaLM language model."
}